Emotion and Adaptation

The complete title of this book runs ‘Analyzing Linguistic Data: A Practical Introduction to Statistics using R’ and as such it very well reflects the purpose and spirit of the book. The author guides the reader in about 350 pages from descriptive and basic statistical methods over classification and clustering to (generalised) linear and mixed models. Each of the methods is introduced in the context of concrete linguistic problems and demonstrated on exciting datasets from current research in the language sciences. In line with its practical orientation, the book focuses primarily on using the methods and interpreting the results. This implies that the mathematical treatment of the techniques is held at a minimum if not absent from the book. In return, the reader is provided with very detailed explanations on how to conduct the analyses using R [1]. The first chapter sets the tone being a 20-page introduction to R. For this and all subsequent chapters, the R code is intertwined with the chapter text and the datasets and functions used are conveniently packaged in the languageR package that is available on the Comprehensive R Archive Network (CRAN). With this approach, the author has done an excellent job in enabling researchers and students alike to reproduce the analyses and learn by doing. Another quality as a textbook is the fact that every chapter ends with Workbook sections where the user is invited to exercise his or her analysis skills on supplemental datasets. Full solutions including code, results and comments are given in Appendix A (30 pages). Instructors are therefore very well served by this text, although they might want to balance the book with some more mathematical treatment depending on the target audience. After the introductory chapter on R, the book opens on graphical data exploration. Chapter 3 treats probability distributions and common sampling distributions. Under basic statistical methods (Chapter 4), distribution tests and tests on means and variances are covered. Chapter 5 deals with clustering and classification. Strangely enough, the clustering section has material on PCA, factor analysis, correspondence analysis and includes only one subsection on clustering, devoted notably to hierarchical partitioning methods. The classification part deals with decision trees, discriminant analysis and support vector machines. The regression chapter (Chapter 6) treats linear models, generalised linear models, piecewise linear models and a substantial section on models for lexical richness. The final chapter on mixed models is particularly interesting as it is one of the few text book accounts that introduce the reader to using the (innovative) lme4 package of Douglas Bates which implements linear mixed-effects models. Moreover, the case studies included in this

Analyzing linguistic data: a practical introduction to statistics using R

PROMETHEE: A comprehensive literature review on methodologies and applications

Mobile devices such as laptops, personal digital assistants, and mobile phones have become a learning tool with great potential in both classrooms and outdoor learning. Although there have been qualitative analyses of the use of mobile devices in education, systematic quantitative analyses of the effects of mobile-integrated education are lacking. This study performed a meta-analysis and research synthesis of the effects of integrated mobile devices in teaching and learning, in which 110 experimental and quasiexperimental journal articles published during the period 1993-2013 were coded and analyzed. Overall, there was a moderate mean effect size of 0.523 for the application of mobile devices to education. The effect sizes of moderator variables were analyzed and the advantages and disadvantages of mobile learning in different levels of moderator variables were synthesized based on content analyses of individual studies. The results of this study and their implications for both research and practice are discussed. This is a meta-analysis and research synthesis study for mobile-integrated education.110 published journal articles that were written over a 20-year period were coded and analyzed.The application of mobile devices to education has a moderate mean effect size.The effect sizes of moderator variables were analyzed.The benefits and drawbacks of mobile learning were synthesized.

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The effects of integrating mobile devices with teaching and learning on students' learning performance

Handbook of the International Phonetic Association: A Guide to the Use of the International Phonetic Alphabet

To catch up with the recent expansions of wireless platforms, the performance of quality management systems for wireless communication network services needs to be continuously improved; therefore, studies should be conducted on comprehensive quality indicators through the quality analyses that can represent the users’ quality of experience (QoE) of multimedia-data based wireless network services. In this paper, subjecting the five wireless Internet services (broadband LTE, LTE-A, LTE3G, WiBro, and WiFi), reliability verifications of quality measurement system platforms, algorithms, and software (S/W) that can assess the qualities of network sections and of the whole stations of service providers were proposed. In addition, to conduct reliability verifications, vehicles were facilitated to travel to the assessment areas and to perform the measurements more than 100 times in each assessment area (over 50 times per terminal).

Quality measurement system for a wireless network based on the multimedia-data service

The new multimedia standards (for example, MPEG-21) facilitate the seamless integration of multiple modalities into interoperable multimedia frameworks, transforming the way people work and interact with multimedia data. These key technologies and multimedia solutions interact and collaborate with each other in increasingly effective ways, contributing to the multimedia revolution and having a significant impact across a wide spectrum of consumer, business, healthcare, education, and governmental domains.Multimedia and Ubiquitous Engineering provides an opportunity for academic and industry professionals to discuss recent progress in the area of multimedia and ubiquitous environment including models and systems, new directions, novel applications associated with the utilization and acceptance of ubiquitous computing devices and systems.

Multimedia and Ubiquitous Engineering: MUE 2013

Service Oriented Architecture (SOA) is an architecture that is made up of components and interconnections that stress interoperability and location transparency. A service is a grouping of components and these services are joined together by the processes to form a business process. Web services are software components that are self-containing, self-describing modular applications that can be published, located, and invoked across the Web. It may combine several applications that a user needs. Component communication in web service interacted FIFO order by standard network protocols with RPC method. In this paper, I propose component interaction method in web service by priority service processing. So, it is possible that proposal techniques composite and operate multiplex web service efficiently.

Priority processing in the web service-workflow architecture

To measure the quality of service of IPTV, the quality of service (QoS) is measured at the front end of the subscriber’s STB. As is well known, QoS measures how reliably data are transmitted in a given network status. For example, the RTP packet header is scanned to analyze the packet loss, delay, jitter, etc. The IPTV services, however, send video data, including video and audio signals, and video data are sensitive to human sight and hearing. Back-mirroring technology is a function that enables the smart device to be utilized as a remote control device for interactive operation by wirelessly transmitting the screen of Android-based broadcasting devices (IPTV, smart TV, set-top box, etc.). In this paper, we suggest an advanced method and more diverse set of controls in order to process the signal from the set-top boxes or TV etc., suggesting that they are more convenient and more versatile. Using this solution, users will be able to use smart devices to increase user convenience and additional content markets by providing the same user convenience as smart devices, such as touch, drag, scaling, and scaling.

A study on the control of smart device set-top box using image based reverse mirroring technology

An automation system which depends solely on production improvements has been developed recently focusing on the optimization system, maximization of the efficiency, stability of the system, convenience of operation, and compatibility. Various studies on enhancement of the automation system efficiency are being considered by many researchers and software developers in order to achieve maximum production improvement and optimization of operations in the effort to maximize the effectiveness of the automation system. The production measurement UPH (unit per hour) has been used to determine the automation system efficiency but the efficiency of each operation is calculated manually on the basis of the accumulated UPH in the conventional system. Therefore, more accurate efficiency measurements are required. The operational efficiency of the automation system has been measured using UPH to provide users with a more quantified and objective evaluation of the system. The user should provide the initiating time to operate the process so that the operation efficiency is obtained as results sorted by date of the operations.

Hwa-Young Jeong

Papers

Quality measurement system for a wireless network based on the multimedia-data service

Multimedia and Ubiquitous Engineering: MUE 2013

Priority processing in the web service-workflow architecture

A study on the control of smart device set-top box using image based reverse mirroring technology

Development and implementation of an operation efficiency management system using the UPH according to operation start time